Unlock the potential of video-based cardiac imaging with Horus Echonet. Our innovative solution leverages Deep Learning techniques to analyze echocardiography videos, enabling precise segmentation of the left ventricle and accurate assessment of cardiac function, including left ventricular ejection fraction (LVEF).
Echocardiography, the most widely used and accessible cardiac imaging modality, plays a crucial role in evaluating cardiac structure and function.
Left ventricular ejection fraction, or LVEF, is a highly relevant clinical indicator. However, its estimation from echocardiograms still has a significant manual component and time cost.
Despite the advancements in machine learning for biomedical image analysis, video-based medical imaging, such as echocardiography, has received less attention.
Horus Echonet bridges this gap by employing a 3D convolutional neural network architecture to classify and semantically segment echocardiography videos, providing comprehensive cardiac analysis, including automatic LVEF estimation.
Experience the future of video-based echocardiogram imaging analysis. Elevate your diagnostic capabilities with Horus Echonet.
Deep Learning Video Analysis: Leverage state-of-the-art Deep Learning models, specifically designed for echocardiograms, to perform accurate segmentation and evaluate cardiac function.
Left Ventricle Segmentation: Precisely segment the left ventricle from echocardiograms , enabling detailed analysis and measurements.
Left Ventricular Ejection Fraction (LVEF): Automatic calculation of LVEF, a critical parameter for assessing cardiac function and diagnosing various cardiovascular conditions.
Enhance Clinical Decision-Making: Provide clinicians with comprehensive insights into cardiac health, aiding in the diagnosis and treatment planning of cardiac diseases.
Reduce cardiologist workload: Streamline the analysis process by automating video-based cardiac image segmentation, saving time and reducing manual effort, as Horus Echonet takes less than 0.1 seconds per echocardiogram analysis.
